{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:GMKY37W3Q7YTVS2WC76F2MZGHE","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bdc3585334085791ccfca4d85484d032bd44a9a03f0ea035b21dd3fb5bc86e2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:30:57Z","title_canon_sha256":"07bbf31698a326f74afe50ffd2b55b77a69554e4f7c797c16e6cb77d1ccf0056"},"schema_version":"1.0","source":{"id":"1804.06657","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.06657","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"arxiv_version","alias_value":"1804.06657v1","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.06657","created_at":"2026-05-18T00:18:06Z"},{"alias_kind":"pith_short_12","alias_value":"GMKY37W3Q7YT","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"GMKY37W3Q7YTVS2W","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"GMKY37W3","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:58ffe4265850a9a4764166b31b50e7452d7bb8ee8b2df30c85f7af6d5be391dc","target":"graph","created_at":"2026-05-18T00:18:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper we present a deep-learning model that competed at SemEval-2018 Task 2 \"Multilingual Emoji Prediction\". We participated in subtask A, in which we are called to predict the most likely associated emoji in English tweets. The proposed architecture relies on a Long Short-Term Memory network, augmented with an attention mechanism, that conditions the weight of each word, on a \"context vector\" which is taken as the aggregation of a tweet's meaning. Moreover, we initialize the embedding layer of our model, with word2vec word embeddings, pretrained on a dataset of 550 million English twe","authors_text":"Alexandros Potamianos, Athanasia Kolovou, Christos Baziotis, Georgios Paraskevopoulos, Nikolaos Ellinas, Nikos Athanasiou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:30:57Z","title":"NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.06657","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c593cfe96518153ebd7dc26e8ca19bf7a041a570f104924912310a51171a263b","target":"record","created_at":"2026-05-18T00:18:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"bdc3585334085791ccfca4d85484d032bd44a9a03f0ea035b21dd3fb5bc86e2b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-18T11:30:57Z","title_canon_sha256":"07bbf31698a326f74afe50ffd2b55b77a69554e4f7c797c16e6cb77d1ccf0056"},"schema_version":"1.0","source":{"id":"1804.06657","kind":"arxiv","version":1}},"canonical_sha256":"33158dfedb87f13acb5617fc5d3326393b3dbfe91bfb6a4a91c3b20d91e33c83","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33158dfedb87f13acb5617fc5d3326393b3dbfe91bfb6a4a91c3b20d91e33c83","first_computed_at":"2026-05-18T00:18:06.110947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:18:06.110947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UPRzhY4ZaZUwx4symaeXb8b6mkQiqIxVJ2K4/QY6tvpJyReTVwvElx+M5Ro8PyY+rcelpwZjffAUQN40HjknAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:18:06.111643Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.06657","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c593cfe96518153ebd7dc26e8ca19bf7a041a570f104924912310a51171a263b","sha256:58ffe4265850a9a4764166b31b50e7452d7bb8ee8b2df30c85f7af6d5be391dc"],"state_sha256":"29f1ef37890ef69bdb6a95f17660c81a5f4d704bb22fa4941549705620f40f68"}